Data Science Connect

JULY 28, 2023

The ever-expanding Internet of Things (IoT) ecosystem is set to experience a monumental transformation as Artificial Intelligence (AI) steps into the picture. A recent article on Fagen Wasanni delves into the fascinating world of how AI is revolutionizing the IoT landscape.

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Smart Data Collective

SEPTEMBER 11, 2020

Artificial intelligence is changing the Internet in ways we never expected. Savvy technology evangelists recognize the importance of AI in the 21 st Century, especially as Internet technology continues to evolve. Internet of Things. Internet of Things is a critical tool for businesses.

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Pickl AI

OCTOBER 1, 2024

Summary: Artificial Intelligence (AI) is revolutionizing agriculture by enhancing productivity, optimizing resource usage, and enabling data-driven decision-making. While AI presents significant opportunities, it also faces challenges related to data quality, technical expertise, and integration.

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Towards AI

FEBRUARY 15, 2024

As one of the biggest trends in the emerging IT industry, artificial intelligence (AI) is poised to become the next big thing in technology. AI has proven to be a boon for the modern world, with applications across tech innovations like IoT (Internet of Things), AR/VR, robotics, and more.

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Data Science Connect

JULY 26, 2023

Integrating Sustainability Metrics into Cybersecurity Strategies Data scientists can integrate sustainability metrics into cybersecurity strategies, aligning security measures with broader sustainability goals. This approach ensures that cybersecurity efforts not only protect data but also contribute to sustainable practices.

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IBM Journey to AI blog

JUNE 14, 2023

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. What’s the biggest challenge manufacturers face right now?

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Dataconomy

MARCH 4, 2025

Increased adoption of artificial intelligence in cybersecurity AI is reshaping cybersecurity, enabling faster, more accurate threat detection and response. This surge in AI use is driven by the need for real-time data analysis and incident response capabilities that can identify anomalies before they escalate.

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Dataconomy

AUGUST 24, 2023

Business intelligence projects merge data from various sources for a comprehensive view ( Image credit ) Good business intelligence projects have a lot in common One of the cornerstones of a successful business intelligence (BI) implementation lies in the availability and utilization of cutting-edge BI tools such as Microsoft’s Fabric.

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How to Learn Machine Learning

MARCH 23, 2025

As we navigate through 2025, artificial intelligence and other cutting-edge technologies have moved beyond theoretical possibilities to become integral components of our daily lives and business operations. Introduction: The Digital Revolution Accelerates We stand at the dawn of a new technological era. So sit back, relax, and enjoy!

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Dataconomy

FEBRUARY 24, 2023

The term “artificial intelligence” (AI) describes machines’ ability to mimic human intelligence. Artificial Intelligence (AI) can be used in various ways to solve complex problems and automate tasks that were previously done manually. It could be anything from customer service to data analysis.

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Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade. New Avenues of Data Discovery.

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Data Science Connect

JULY 26, 2023

Unlike traditional cloud computing, where data is sent to centralized data centers, edge computing brings processing closer to the data source. This proximity significantly reduces latency and enhances real-time data analysis, making it indispensable for applications like IoT, autonomous vehicles, smart cities, and more.

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Pickl AI

NOVEMBER 8, 2023

Python’s data analysis and visualization libraries, such as Pandas and Matplotlib, empower Data Scientists and analysts to derive valuable insights. It excels in Machine Learning and Artificial Intelligence with libraries like TensorFlow and Scikit-learn.

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Dataconomy

AUGUST 21, 2023

As of 2023, sensors and artificial intelligence have already become a huge part of our lives. While it builds upon the foundation of the Internet of Things (IoT), which brought us connected devices, ambient computing takes this concept further.

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Data Science Connect

JULY 24, 2023

Precision agriculture, also known as smart farming, relies on data-driven technologies to tailor agricultural practices to specific field conditions. By integrating real-time data with AI models, farmers can optimize irrigation schedules, apply fertilizers more efficiently, and detect pest and disease outbreaks early.

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IBM Journey to AI blog

JUNE 20, 2023

Opportunities with data-driven digital twins Much has happened in engineering (e.g., detecting and preventing failures through sensor data analysis) and after sales (e.g., detecting trends through social media analysis) through the usage of data analytics.

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IBM Journey to AI blog

MAY 31, 2023

Sensors collect data in real-time, and it is fed into AI-enabled enterprise asset management (EAM) , computerized maintenance management systems (CMMS) and other maintenance software. Through these types of software, advanced data analysis tools and processes like machine learning (ML) can identify, detect and address issues as they occur.

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AWS Machine Learning Blog

MARCH 19, 2024

Agents like PandasAI come into play, running this code on high-resolution time series data and handling errors using FMs. PandasAI is a Python library that adds generative AI capabilities to pandas, the popular data analysis and manipulation tool. PandasAI sends this custom prompt to the Amazon Bedrock Claude v2 model.

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ODSC - Open Data Science

MAY 19, 2025

Artificial intelligence (AI) could help with its predictive analytics capabilities. Identifying High-Risk Areas An AI can look at accreditation expectations and survey data from the past and combine it with incident reports, consumer reviews, and complaints. Here are the most likely ways to deploy it for successful evaluations.

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Dataconomy

MAY 21, 2024

This efficiency also allows Small Language Models to process data locally, which enhances privacy and security for Internet of Things (IoT) edge devices and organizations with strict regulations, especially valuable for real-time response applications or settings with stringent resource limitations.

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Pickl AI

OCTOBER 3, 2024

Summary: No-code AI platforms enable users to develop Artificial Intelligence applications without programming knowledge. Businesses can automate tasks, personalise customer experiences, and make data-driven decisions quickly and cost-effectively.

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IBM Journey to AI blog

MARCH 8, 2024

As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially. Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer.

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Dataconomy

MARCH 28, 2023

The emergence of the Internet of Things (IoT) has led to the proliferation of connected devices and sensors that generate vast amounts of data. This data is a goldmine of insights that can be harnessed to optimize various systems and processes. What is an IoT ecosystem?

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Dataconomy

MARCH 28, 2023

The emergence of the Internet of Things (IoT) has led to the proliferation of connected devices and sensors that generate vast amounts of data. This data is a goldmine of insights that can be harnessed to optimize various systems and processes. What is an IoT ecosystem?

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Pickl AI

SEPTEMBER 13, 2024

In this context, Artificial Intelligence (AI) and Big Data Analytics have emerged as powerful tools for enhancing pandemic response efforts. By harnessing Big Data Analytics, policymakers can make informed decisions based on real-time information. What Role Does Big Data Play in Managing Pandemics?

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Dataconomy

AUGUST 11, 2023

This phase often begins with data cleansing, where any noise or irrelevant information is filtered out. Following this, the data may undergo transformation and loading into an analytics system where advanced algorithms, possibly incorporating artificial intelligence and machine learning, are applied.

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Pickl AI

JULY 23, 2023

The Role of Data in the Digital Age Data plays a pivotal role in shaping the technological landscape in today’s interconnected world. Data forms the backbone of numerous cutting-edge technologies, from business analytics to artificial intelligence.

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Pickl AI

SEPTEMBER 3, 2024

Introduction Artificial Neural Network (ANNs) have emerged as a cornerstone of Artificial Intelligence and Machine Learning , revolutionising how computers process information and learn from data. Edge Computing With the rise of the Internet of Things (IoT), edge computing is becoming more prevalent.

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IBM Journey to AI blog

JULY 5, 2023

In the IoT era—with everything from valves to vehicles connected by sensors and systems—maintenance operators now have the opportunity to incorporate advanced analytics and artificial intelligence (AI) into everything they do.

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Pickl AI

DECEMBER 6, 2024

5G Expansion The rollout of 5G technology is set to transform connectivity by providing ultra-fast internet speeds and low latency. This advancement will enable seamless communication between devices, facilitating the growth of the Internet of Things (IoT), autonomous vehicles, and augmented reality applications.

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Pickl AI

JUNE 6, 2024

Enter predictive modeling , a powerful tool that harnesses the power of data to anticipate what tomorrow may hold. Predictive modeling is a statistical technique that uses Data Analysis to make informed forecasts about future events. What is Predictive Modeling?

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Pickl AI

JULY 31, 2023

While the revolution began with the surge of the internet, but the two revolutionary technologies that stirred a wave of change are Blockchain and Artificial Intelligence. While the concept of Blockchain is fairly new, the term AI or Artificial Intelligence was coined in 1955. What is Artificial Intelligence?

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Pickl AI

JUNE 4, 2024

Data can identify buildings with inefficient systems and prioritize retrofitting efforts. Data analysis can identify opportunities for process optimization to reduce energy waste. Promote Behavioural Change Analyzing smart meter data can reveal household energy consumption patterns.

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Defined.ai blog

SEPTEMBER 5, 2023

Regarding the digital age and the rise of artificial intelligence, one phrase rings especially true: data is king. Specifically, retail sales data is emerging as a goldmine for businesses looking to leverage AI. But what exactly is retail sales data, and why is it taking center stage in AI advancements?

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Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

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Pickl AI

DECEMBER 2, 2024

Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets. Processing frameworks like Hadoop enable efficient data analysis across clusters.

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Pickl AI

JANUARY 3, 2024

The expanding Internet of Things (IoT) and the surge in edge computing contribute to the growth by generating vast datasets that necessitate skilled professionals for analysis. Industry sectors with the highest salary growth Specific industry sectors are poised for remarkable salary growth in 2024. from 2023 to 2030.

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